Overview
The UT Austin Robot Perception and Learning Lab (RPL) conducts research in robot learning, visual perception, and manipulation. Led by Professor Yuke Zhu, RPL works on foundation models for robotics, sim-to-real transfer, and autonomous manipulation in unstructured environments.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
UT Austin Robot Perception and Learning Lab on the deployment map
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Current leadership (1)
- Yuke Zhu Professor, UT Austinsecondary-verified
Safety record
No incidents on record for UT Austin Robot Perception and Learning Lab.
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Full safety record: incidents, sourcing, and exposure data →
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 9, 2026
Added to the verified registry
Common questions
What is UT Austin Robot Perception and Learning Lab?
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Is UT Austin Robot Perception and Learning Lab safe?
Methodology: Claimed (not independently verified) · no sources on file · last reviewed 2026-08-09
Verification posture
Claimed (not independently verified)
Low confidence
Review state
Stable
Last reviewed 2026-08-09
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for UT Austin Robot Perception and Learning Lab.Machine-readable surfaces
- Markdown mirror: /companies/ut-austin-rpl.md
- RSS feed: /companies/ut-austin-rpl/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/6177f860-196b-4caf-ba62-edf5fe3b1ca5
- Revision history: /companies/ut-austin-rpl/history
- Data documentation: /data
- Query this programmatically: Deploy MCP